head to head · open source
LosslessCut vs geemap
LosslessCut has 44,176 GitHub stars, 2,192 forks, 300 open issues and last shipped yesterday. geemap has 4,033 stars, 1,155 forks, 53 open issues and last shipped 2 days ago. LosslessCut leads on adoption by 995% (44,176 vs 4,033 stars). LosslessCut is written in TypeScript under GPL-2.0; geemap is written in Python under MIT. LosslessCut has attracted 5% as many forks as stars, geemap 29%. LosslessCut was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LosslessCut | geemap | |
|---|---|---|
| GitHub stars | ★ 44K | ★ 4.0K |
| License | GPL-2.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-30 | 2026-09-29 |
| Forks | ⑂ 2.2K | ⑂ 1.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LosslessCut if
- You weight community size — 44K stars and counting
- You want the GPL-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick geemap if
- You want the geemap feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and geemap fits your workflow better
About LosslessCut
LosslessCut is a cross platform desktop application for lossless editing of video, audio, and subtitle files. Built with Electron and TypeScript, it serves as a graphical interface to FFmpeg, enabling users to perform precise cuts, trims, merges, and track manipulations without re encoding, thus preserving original quality. It targets users who need to rapidly process media files—such as raw footage from cameras, drones, or smartphones—where re encoding would be time consuming and degrade fidelity.
read the full LosslessCut overview →
About geemap
geemap is an MIT licensed Python package that brings interactive geospatial analysis and visualization with Google Earth Engine into Jupyter based environments, and it is built for students, researchers, and existing Earth Engine users who want to explore satellite imagery with the Python ecosystem.
read the full geemap overview →
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Frequently asked questions
Is LosslessCut or geemap more popular?
LosslessCut has 44,176 GitHub stars and geemap has 4,033. LosslessCut has the larger community by that measure.
Are LosslessCut and geemap free?
Both are open source. LosslessCut is licensed under GPL-2.0 and geemap under MIT. Neither carries a licence fee.
What is the difference between LosslessCut and geemap?
LosslessCut is written in TypeScript and geemap in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LosslessCut or geemap?
Choose LosslessCut if you want the larger community (44,176 stars) or its GPL-2.0 licence terms. Choose geemap if its feature set, stack or MIT licence fits better. Both are self-hostable.